4 repository-uri
Awesome GitHub RepositoriesComputer Vision
Integrations for analyzing and interpreting image data using multimodal models.
Distinguishing note: Focuses on image analysis capabilities.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Computer Vision. Refine with filters or upvote what's useful.
Awesome Computer Vision GitHub Repositories
Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
- eriklindernoren/ml-from-scratch
eriklindernoren/ML-From-Scratch
31,918Vezi pe GitHubThis project is an educational toolkit that provides implementations of fundamental machine learning algorithms built from scratch. By avoiding high-level library abstractions, it serves as a pedagogical reference for understanding the mathematical foundations and core mechanics of supervised learning, unsupervised learning, and reinforcement learning models. The repository distinguishes itself through a modular approach to model construction, allowing users to build custom neural networks by chaining independent functional blocks. It covers a wide range of techniques, including gradient-base
Recognizes visual patterns in images by training convolutional neural networks to extract features.
Pythondata-miningdata-sciencedeep-learning - eugeneyan/applied-ml
eugeneyan/applied-ml
29,783Vezi pe GitHubThis project is a comprehensive, curated knowledge base designed to support the development and maintenance of production-grade machine learning systems. It serves as a centralized repository of industry-standard technical literature, engineering case studies, and research papers, providing a structured reference for practitioners navigating the complexities of modern data science and machine learning engineering. The resource distinguishes itself through a cross-domain approach that bridges the gap between academic research and practical implementation. By synthesizing proven industry archit
Extract meaningful information from digital images and video streams to enable tasks like object detection, image segmentation, and scene understanding.
applied-data-scienceapplied-machine-learningcomputer-vision - xenova/transformers.js
xenova/transformers.js
16,141Vezi pe GitHubTransformers.js is a JavaScript library and web machine learning framework designed to run pretrained transformer models directly in the browser. It serves as a client-side inference engine and a wrapper for the ONNX Runtime, enabling the execution of multimodal AI tasks on user devices without the need for a backend server. The library distinguishes itself by providing a unified toolkit for processing text, image, and audio data locally. This architecture supports privacy-preserving model inference and reduces latency by performing all computations on the client's hardware. Its capabilities
Extracts labels, object locations, and depth maps using specialized vision models.
JavaScript - lazyprogrammer/machine_learning_examples
lazyprogrammer/machine_learning_examples
8,823Vezi pe GitHubThis project is a comprehensive collection of practical code examples and implementation libraries for machine learning. It provides a wide array of reference materials for building supervised, unsupervised, and reinforcement learning algorithms. The repository serves as a multi-domain resource, featuring specific implementation suites for financial AI, Bayesian statistical modeling, and deep learning architectures. It includes a framework for training intelligent agents using policy gradients and actor-critic models, as well as practical guides for fine-tuning transformers and utilizing larg
Provides capabilities for analyzing and interpreting visual data using deep learning and multimodal models.
Pythondata-sciencedeep-learningmachine-learning
